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Releases: lucidrains/se3-transformer-pytorch

0.0.22

26 Feb 21:43
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add fourier encoding of distance as a feature

0.0.21

24 Feb 20:29
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save extra projection out for 1 headed attention (plain non-multihead…

0.0.20

19 Feb 20:16
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add backup loading from numpy

0.0.19

19 Feb 04:47
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allow for token to attend to itself by default

0.0.18

17 Feb 20:20
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allow gradients from basis vectors -> r_ij with a flag change, sugges…

0.0.17

17 Feb 00:36
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add an extra norm at the end, like traditional transformers

0.0.16

16 Feb 22:01
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add reversible networks

0.0.15

14 Feb 16:33
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allow for float64 across whole model

0.0.14

14 Feb 03:41
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turn off null key/values feature

0.0.12

13 Feb 00:23
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fix device problem for mask